LLM Consultant

Research and Development Opportunities

Sony Research India is at the forefront of cutting-edge research and development in various locations around the globe, including laboratories in Japan, the United States, Europe, and Asia. We are committed to creating new technology, products, and services while sustaining our diverse businesses in electronics, entertainment, and financial fields.

To foster the growth of a diverse pool of research and engineering talent and create a technology talent bank to drive research excellence worldwide, we seek highly motivated individuals who can assist in our research and development efforts on user engagement foundation model.

Key Responsibilities:

• Contributing to developing and evaluating models (including user engagement foundation model) leveraging pre-trained LLMs.
• Blending together LLM language understanding and personalization of recommendation models.
• Working closely with other research scientists, engineers, and product teams fostering a collaborative and intellectually stimulating environment.
• Contribute to improving the experience of million Indian Sony LIV users by leveraging AI capabilities.
• Contribute to the research community by sharing insights and participating in external academic workshops and conferences.

Required Skills and Qualifications

Essential Education:

• Ph.D. or Masters in Computer Science or similar background.

Skills Required:

• A strong background in deep learning, both in terms of conceptual understanding, as well as practical experience.
• Understanding about current state-of-the-art machine learning literature.
• Strong knowledge and interest in LLMs (fine-tuning, training and using LLMs).
• Highly skilled in Python and one or more popular deep learning framework.
• Ability to envision new ideas and proving them through theory and/or experiments.

Good to have Skills:

• 0-1 year work experience in LLM/NLP projects within a start-up environment.
• Knowledge of working on AWS cloud is desirable.
• Good publication record, with publications in major machine learning conferences.

Benefits

• The annual paid direct contractual tenure is extendable.
• This position will start from the first week of September 2025.
• The working hours are from 9:00 to 18:00 (Monday to Friday) full-time.

Others

We are committed to equal opportunity in all our employment practices, policies and procedures and to ensuring that no worker or potential worker will receive less favourable treatment due to any characteristic protected under applicable local laws.